Artificial neural network based modeling of injection pressure in diesel engines

WSEAS TRANSACTIONS ON COMPUTERS, cilt.5, sa.3, ss.1538-1544, 2004 (Hakemli Dergi)

Abstract: - Injection pressure in diesel engines has an important effect on the engine performance and

soot formation. During performing the experimental work, the measurement of the torque, power, specific

fuel consumption (SFC) and soot formation values in the diesel engines is a time consuming work and it

also requires specific tools, an expert. In addition to the difficulties mentioned earlier, some of the

operating points can be only investigated and evaluated because of difficulties of measuring the

parameters at the operating conditions.

In this study, to overcome these difficulties, an artificial neural network (ANN) is used for prediction

of performance and soot formation in diesel engines. The training data for ANN is obtained from

experimental measurements. In comparison of performance analysis of ANN, the deviation coefficients of

torque, power, SFC, and soot formation for the test pressure conditions are less than 1.66, 3.2, 2.89, and

3.47, respectively. The statistical coefficient of multiple determinations for the investigated cases is about

0.9934 to 0.9983. The degree of accuracy is acceptable in predicting the parameters of the system. So, it

can be concluded that ANN provides a feasible method in predicting the system parameters.